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The Impact of COVID-19 Through Data Analytics

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WEBINAR_The Impact of COVID-19 Through Data Analytics

ABOUT THIS WEBINAR

Topic: COVID-19

Intended Audience: Business Owners, Government Leaders, Healthcare Executives, Corporate Executives

Length: 50 Minutes

As the COVID-19 pandemic was unfolding, Gerhard Pilcher, the CEO at Elder Research began receiving questions about information circulating in the media about the spread and impact of COVID-19. In response, the company published a series of briefs to help businesses make sense of this information. In this webinar hosted by the Northern Virginia Technology Council, Gerhard will share a summary of the briefs and some key topics addressed.

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Regulatory Analytics and the Regulatory Information Value Chain

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WEBINAR_Regulatory Analytics and the Regulatory Information Value Chain-1

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Topic: Government Analytics

Intended Audience:

Chief Analytics Officers, Chief Data Officers, Chief Risk Officers, Directors of Analytics, Chief Information Officers, Directors of Data Management, Program Managers, Fraud Analyst, Examiner, Enforcement Attorney 

Length: 45 minutes

Regulatory agencies oversee a complex value chain of information flowing between the public and private sectors. First, agencies issue rules and mandates; second, regulated enterprises comply with those rules and report back to the agencies on their compliance; third, agencies must analyze the reported information; and, finally, some of this information is disseminated to the public and markets, which digest it to inform investment and competitive intelligence.

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AI/ML Opportunities for the Industrial Internet of Things

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WEBINAR_An AI & ML Opportunities for the Industrial Internet of Things

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Topic: Sensor & IoT Analytics

Intended Audience:

Analytics Managers, Chief Analytics Officers, Heads of Technology Innovation, Industrial Data Scientists, IT/IoT Solution Architects, Chief Technology Officers

Length: 46 minutes

The Industrial IoT (IIoT) is revolutionizing manufacturing and supply chain management through advances in human-machine interaction and decision support. Some benefits of IIoT enabled processes include the use of Machine Learning to optimize operational efficiency, improve productivity, reduce downtime, and maximize asset utilization.

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How the OPEN Government Data Act Empowers Data-Driven Government

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Topic: Government Analytics

Intended Audience:

Chief Analytics Officers, Chief Data Officers, Chief Risk Officers, Directors of Analytics, Chief Information Officers, Directors of Data Management, Program Managers, Chief Acquisition Officers, Grant Managers, Chief Financial Officers

Length: 52 minutes

On January 14, 2019, President Trump signed the OPEN Government Data Act into law as part of Pubic Law 115-445. The OPEN Government Data Act creates a presumption that all federal information should be standardized in machine-readable formats and freely-available for public access. The new law also requires every agency to appoint a chief data officer and develop a comprehensive inventory of all its data sets, not just the public ones.

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Machine Learning & AI: Data-Driven Insight in Healthcare

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Webinar_ML& A_Data-Driven Insight in Healthcare

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Topic: Healthcare Analytics

Intended Audience:

Healthcare Analytics Managers, Chief Analytics Officers, VP Cost Containment, Head of Technology Innovation, VP Clinical Informatics, VP Medical Management, Managed Care Organizations, or other heath care organizations

Length: 43 minutes

Healthcare analytics is a rapidly growing industry. In the U.S., it is expected that this industry will grow to nearly 20 billion by 2020. Despite the adoption of sophisticated analytics into many health care areas, many sectors in health care remain relatively unexposed to the advantages and return on investment analytical techniques and tools can provide. 

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Leading a Successful Data Science Initiative

On Demand

Webinar_Leading a Successful Data Science Initiative

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Topic: Analytics Strategy & Best Practices

Intended Audience: Executives, Directors, Analytics Champions, Chief Analytics Officers, Chief Data Officers, Analytics Managers

Length: 47 Minutes

Data Analytics is a hot topic, and deservedly so. It powers exponential growth in modern behemoths like Google and Facebook but also drives positive transformation in ancient businesses and agencies - helping to cut costs, uncover fraud, discover new markets, etc. Still, many analytic initiatives are never implemented, though they are complete technical successes; they are proven to work but never given the chance. What is going wrong?

This talk explores the heretical thought that leadership is getting in the way - that leaders often inadvertently nurture organizational inertia that diminishes, or completely eliminates, the chance for success with analytics. Learn instead how to harness its counter-intuitive insights, as illustrated by tales from the front lines of this emerging field.

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The High ROI of Machine Learning for Innovative Organizations

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Webinar_The High ROI of Machine Learning for Innovative Organizations-1

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Topic: Analytics Strategy & Best Practices

Intended Audience: Executives, Directors, Analytics Managers, Chief Analytics Officers, Chief Data Officers

Length: 1 Hour

The hype around “the thinking sciences” — Artificial Intelligence, Machine Learning, and Data Science — is enormous, so it’s tempting to be skeptical of the return on investment claimed. Still, most of the results are real. The capabilities of Data Science, where models are inductively built from real history, have been growing steadily. I will reveal examples of the gains that can be achieved using five of our most interesting fielded solutions from the last two decades, from the diverse worlds of investment timing, credit scoring, drug discovery, medical diagnosis, and gas exploration.

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Building a Holistic Fraud Analytics Platform

On Demand

Webinar_Building a Holistic Fraud Analytics Platform

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Topic: Fraud & Risk Analytics

Intended Audience: Directors, Analytics Managers, Chief Analytics Officers, Data Scientists and practitioners

Length: 1 Hour

Mitigating fraud is a complex problem and requires a comprehensive and flexible fraud analytics solution. Organizations can be anywhere along the broad spectrum of fraud analytics capabilities, from basic rules and reporting to complex network graph analysis. This webinar will show data science teams how to move to the next stage in the process, ultimately building out all of the components of a holistic and robust fraud analytics platform. At each stage, we will discuss technical details as well as problems to watch out for based on lessons learned over the years.

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Detecting Fraud Rings with Graph Databases

On Demand

WEBINAR_Detecting Fraud Rings with Graph Databases.jpg

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Topic: Fraud & Risk Analytics

Intended Audience: Directors, Analytics Managers, Chief Analytics Officers, Data Scientists and practitioners

Length: 1 Hour

The most destructive fraudulent activity is not perpetrated by individual bad actors working alone, but by groups orchestrating fraud together. Comprehensive efforts in fraud analytics must consider how to use data to detect fraud rings, whether they relate to kickback schemes, money laundering, identity theft, or other coordinated crime. Even with limited data, approaching analytics from this angle can yield valuable insights into potential fraud that would have gone undetected with traditional methods.

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Best Practices for Deploying a Fraud Analytics Solution

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Fraud Analytics.jpg

ABOUT THIS WEBINAR

Topic: Fraud & Risk Analytics

Intended Audience: C-level Executives, Directors, Analytics Managers

Length: 1 Hour

This webinar will share best practices and lessons learned for developing and deploying effective fraud detection solutions based on extensive experience in both the commercial and federal government sectors. 

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